Buch, Englisch, 396 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 760 g
Reihe: Information Technology, Management and Operations Research Practices
Buch, Englisch, 396 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 760 g
Reihe: Information Technology, Management and Operations Research Practices
ISBN: 978-0-367-41686-7
Verlag: CRC Press
This book presents contemporary issues and challenges in finance and risk management in a time of rapid transformation due to technological advancements. It includes research articles based on financial and economic data and intends to cover the emerging role of analytics in financial management, asset management, and risk management.
Analytics in Finance and Risk Management covers statistical techniques for data analysis in finance. It explores applications in finance and risk management, covering empirical properties of financial systems. It addresses data science involving the study of statistical and computational models and includes basic and advanced concepts. The chapters incorporate the latest methodologies and challenges facing financial and risk management and illustrate related issues and their implications in the real world.
The primary users of this book will include researchers, academicians, postgraduate students, professionals in engineering and business analytics, managers, consultants, and advisors in IT firms, financial markets, and services domains.
Zielgruppe
Postgraduate and Professional
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Technik Allgemein Industrial Engineering
- Mathematik | Informatik Mathematik Operations Research
- Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Fertigungsindustrie
- Wirtschaftswissenschaften Finanzsektor & Finanzdienstleistungen Finanzsektor & Finanzdienstleistungen: Allgemeines
- Wirtschaftswissenschaften Betriebswirtschaft Management Risikomanagement
- Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
Weitere Infos & Material
1. Does the effectiveness of accounting information system intensify the sustainability risk management? insight into the enabling role of the blockchain-enabled intelligent internet of things architecture with artificial intelligence. 2. Determining The Liquidity Level of Businesses Registered on the Polish Stock Exchange. 3. The reporting comprehensiveness of financial asset risk and company value. 4. Gold as an alternative investment in times of turmoil. 5. Use of artificial neural networks and decision trees for cost estimation of software projects – a model proposal. 6. Data accounting. 7. A deep reinforcement learning approach for portfolio optimization and risk management - case studies. 8. Leveraging the intelligent internal audit informatization for risk management to pave a route towards circular economy. does the forensic accounting skill make it different? 9. Designing a Framework for Guest Experience Management in Hotel Industry based on Data Analysis. 10. Use of automated Accounting Information Systems and operational risk in preparation of financial statements: an experiment study. 11. Machine learning in analytical procedures in Audit. 12. Application of advanced tools to bolster the business performance of companies in the new normal. 13. Examine manipulation of financial statements of commercial banks - Evidence from an emerging country. 14. Investments & Alternate Investment options in India. 15. Risk and Return Dynamics in Portfolio Theory. 16. Use of machine learning for software project cost estimation based on ISO/IEC standards. 17. The Application of Partial Least Squares Structural Equation Modeling (PLS-SEM) Algorithm to Brand Image and Consumer Loyalty at Shoe Shops. 18. Effect of the General Government Fiscal Deficit on the Inflation Rate: OECD Countries with the Upper Middle Income.